Work on real-world AI
Build systems that interact with customers in physical environments, not just controlled digital flows.
Careers at Biscuit AI
Join the team building AI for the physical world.
Most AI still lives behind a screen. Biscuit brings AI into the places where customers are already making decisions: stores, aisles, counters, lobbies, kiosks, and service points.
We are early, focused, and moving quickly. If you want a role where your work can shape the product, the customer experience, and the company itself, this is the moment to join.
Physical AI team model Product + deployment + customer learning
Mission
Why Biscuit exists.
Retailers are under pressure to deliver better service without adding more labor to every location. Customers still want help. Associates still need support. Brands still need insight. Stores still matter.
Biscuit gives physical locations an always-available AI layer that can answer questions, recommend products, tell product stories, capture demand signals, and help teams learn from what customers actually ask.
This is not about replacing the human side of retail. It is about giving every location more coverage, more consistency, and more intelligence.
The impact of the work.
Build across the full stack
AI, data, hardware, UX, reporting, deployment, and customer outcomes all matter here.
Join at the shaping stage
We have product built, early deployment momentum, and a clear category to own. The next hires will help define how Biscuit scales.
Stay close to customers
Our work touches retailers, brands, venues, staff, and shoppers. You will see how the product performs in the real world.
Working model
Distributed by design.
Engineering: New Zealand
Our engineering base is anchored in New Zealand, with a focus on fast product execution, AI-native development, and practical systems that can support physical deployments.
Go to market: United States
Our go-to-market and customer-facing work is anchored in the United States, close to enterprise retail customers, strategic partners, pilots, and deployment opportunities.
Deployment: where the customer is
Physical AI has to work on site. Some roles may involve travel for pilots, launches, customer workshops, partner meetings, and field learning.
Priority hiring
The roles we are building around first.
These are the highest-priority hiring lanes for Biscuit. We are also interested in exceptional people who can create leverage outside a neat job title.
GTM Lead
Own the commercial motion for physical AI in retail. Shape pipeline, enterprise conversations, partner opportunities, sales materials, and the repeatable path from pilot to expansion.
- Location
- United States preferred
- Best for
- Enterprise sales, retail technology, AI sales, founder-led GTM, strategic partnerships
Deployment & Customer Success Lead
Turn customer interest into successful launches. Own implementation planning, customer onboarding, pilot readiness, feedback loops, and expansion playbooks.
- Location
- United States preferred; travel likely
- Best for
- Customer success, solutions consulting, retail operations, implementation, technical project management
Product Engineer
Build the platform that powers Biscuit's AI agents, customer-facing experiences, internal tools, integrations, reporting, and deployment workflows.
- Location
- New Zealand preferred; remote considered
- Best for
- Full-stack engineering, AI product development, rapid prototyping, production systems
Open Application
For exceptional people who do not fit neatly into one role but can create leverage across product, AI, deployment, GTM, operations, research, or customer experience.
- Location
- Remote
- Best for
- High-agency builders, operators, researchers, sellers, designers, and systems thinkers
Talent community
Evergreen roles and hiring tracks.
We are always interested in meeting exceptional people across these areas, even when a role is not actively open.
| Role | Location | What you would work on |
|---|---|---|
| Founding GTM Lead | U.S. | Enterprise pipeline, retail partnerships, sales motion, revenue strategy |
| Enterprise Account Executive, Retail AI | U.S. | Selling Biscuit into retailers, brands, venues, and customer-facing environments |
| Deployment & Customer Success Lead | U.S. | Pilot launches, customer onboarding, expansion, field operations |
| Solutions Engineer | U.S. / Remote | Technical discovery, demos, integrations, solution design |
| Forward Deployed AI Engineer | U.S. / NZ | Customer-specific workflows, deployment tooling, field learning |
| Product Engineer | NZ / Remote | Full-stack product, AI workflows, internal tools, agent experiences |
| Applied AI Engineer | NZ / Remote | Model orchestration, retrieval, evaluation, reasoning, speech, vision |
| Computer Vision Engineer | NZ / Remote | Visual understanding, edge perception, customer interaction signals |
| Product Designer / UX Engineer | Remote | Physical AI interaction design, kiosk flows, customer-facing UX |
| AI Operations Associate | Remote | Prompt ops, QA, evaluation, data workflows, customer content setup |
| Open Application | Remote | For exceptional people who do not fit neatly into one role |
What we value
How we work.
Scientific
We test, measure, and learn from evidence. Real-world AI improves through observation, not opinion.
Methodical
Physical deployment rewards detail. We care about reliability, handoffs, setup, documentation, and repeatability.
Purposeful
Every interaction should serve a customer need or business objective.
Learning
Stores create signals. We turn those signals into better experiences, better systems, and better decisions.
Adaptive
AI changes quickly. Retail changes constantly. We build for both.
Human-centered
The goal is to make customer-facing teams more capable, not to remove the human judgment that makes great service work.
What candidates can expect
High ownership. Low bureaucracy. Real customer exposure.
Biscuit is early-stage, so roles here are broad. You may write strategy in the morning, talk to a customer at lunch, and ship something by the end of the day.
- Direct access to product and company priorities.
- A practical, AI-native working culture.
- Real customer problems, not abstract roadmap exercises.
- High trust and high accountability.
- The chance to shape a category while it is still being defined.
- Equity participation for core hires where appropriate.
- Flexible work patterns based on role, timezone, and customer needs.
Hiring process
Our hiring process.
- 1
Intro conversation
A practical conversation about your background, what you want to build, and where you could create leverage at Biscuit.
- 2
Role deep dive
We go deeper into the role, the company stage, the product, the customer, and the operating reality.
- 3
Work sample
A focused exercise related to the actual work: a customer plan, product critique, technical review, GTM strategy, deployment plan, or build task.
- 4
Final conversation
A discussion about expectations, timing, compensation structure, working style, and what success looks like in the first 90 days.
- 5
Offer or talent community
For immediate fits, we move quickly. For strong future fits, we keep an active talent community as new roles open.
Help build the next customer interface for retail.
If you want to work on AI that customers can actually walk up to, talk to, and use, we should meet.